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1.
FASEB J ; 38(17): e70034, 2024 Sep 15.
Artículo en Inglés | MEDLINE | ID: mdl-39248019

RESUMEN

The function of hydroxysteroid dehydrogenase 12 (HSD17B12) in lipid metabolism is poorly understood. To study this further, we created mice with hepatocyte-specific knockout of HSD17B12 (LiB12cKO). From 2 months on, these mice showed significant fat accumulation in their liver. As they aged, they also had a reduced whole-body fat percentage. Interestingly, the liver fat accumulation did not result in the typical formation of large lipid droplets (LD); instead, small droplets were more prevalent. Thus, LiB12KO liver did not show increased macrovesicular steatosis with the increasing fat content, while microvesicular steatosis was the predominant feature in the liver. This indicates a failure in the LD expansion. This was associated with liver damage, presumably due to lipotoxicity. Notably, the lipidomics data did not support an essential role of HSD17B12 in fatty acid (FA) elongation. However, we did observe a decrease in the quantity of specific lipid species that contain FAs with carbon chain lengths of 18 and 20 atoms, including oleic acid. Of these, phosphatidylcholine and phosphatidylethanolamine have been shown to play a key role in LD formation, and a limited amount of these lipids could be part of the mechanism leading to the dysfunction in LD expansion. The increase in the Cidec expression further supported the deficiency in LD expansion in the LiB12cKO liver. This protein is crucial for the fusion and growth of LDs, along with the downregulation of several members of the major urinary protein family of proteins, which have recently been shown to be altered during endoplasmic reticulum stress.


Asunto(s)
Hígado Graso , Hepatocitos , Gotas Lipídicas , Ratones Noqueados , Animales , Ratones , Gotas Lipídicas/metabolismo , Hepatocitos/metabolismo , Hígado Graso/metabolismo , Hígado Graso/patología , Hígado Graso/genética , 17-Hidroxiesteroide Deshidrogenasas/metabolismo , 17-Hidroxiesteroide Deshidrogenasas/genética , Metabolismo de los Lípidos , Peso Corporal , Hígado/metabolismo , Hígado/patología , Masculino , Ratones Endogámicos C57BL , Ácidos Grasos/metabolismo
3.
Biol Reprod ; 111(2): 436-447, 2024 Aug 15.
Artículo en Inglés | MEDLINE | ID: mdl-38780059

RESUMEN

Hydroxysteroid (17beta) dehydrogenase 1 (HSD17B1) is a steroid synthetic enzyme expressed in ovarian granulosa cells and placental syncytiotrophoblasts. Here, HSD17B1 serum concentration was measured with a validated immunoassay during pregnancy at three time points (12-14, 18-20 and 26-28 weeks of gestation). The concentration increased 2.5-fold (P < 0.0001) and 1.7-fold (P = 0.0019) during the follow-up period for control women and women who later developed preeclampsia (PE), respectively, and a significant difference was observed at weeks 26-28 (P = 0.0266). HSD17B1 concentration at all the three time points positively correlated with serum PAPPA measured at the first time point (first time point r = 0.38, P = 1.1 × 10-10; second time point r = 0.27, P = 5.9 × 10-6 and third timepoint r = 0.26, P = 2.3 × 10-5). No correlation was observed between HSD17B1 and placental growth factor (PLGF). Serum HSD17B1 negatively correlated with the mother's weight and body mass index (BMI), mirroring the pattern observed for PAPPA. The univariable logistic regression identified a weak association between HSD17B1 at 26-28 weeks and later development of PE (P = 0.04). The best multivariable model obtained using penalized logistic regression with stable iterative variable selection at 26-28 weeks included HSD17B1, together with PLGF, PAPPA and mother's BMI. While the area under the receiver operating characteristic curve of the model was higher than that of the adjusted PLGF, the difference was not statistically significant. In summary, the serum concentration of HSD17B1 correlated with PAPPA, another protein expressed in syncytiotrophoblasts, and with mother's weight and BMI but could not be considered as an independent marker for PE.


Asunto(s)
Biomarcadores , Preeclampsia , Proteína Plasmática A Asociada al Embarazo , Adulto , Femenino , Humanos , Embarazo , Biomarcadores/sangre , Estradiol Deshidrogenasas/sangre , Preeclampsia/sangre , Preeclampsia/diagnóstico , Proteína Plasmática A Asociada al Embarazo/metabolismo , Proteína Plasmática A Asociada al Embarazo/análisis
4.
Clin Immunol ; 264: 110261, 2024 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-38788884

RESUMEN

Gene regulatory elements, such as enhancers, greatly influence cell identity by tuning the transcriptional activity of specific cell types. Dynamics of enhancer landscape during early human Th17 cell differentiation remains incompletely understood. Leveraging ATAC-seq-based profiling of chromatin accessibility and comprehensive analysis of key histone marks, we identified a repertoire of enhancers that potentially exert control over the fate specification of Th17 cells. We found 23 SNPs associated with autoimmune diseases within Th17-enhancers that precisely overlapped with the binding sites of transcription factors actively engaged in T-cell functions. Among the Th17-specific enhancers, we identified an enhancer in the intron of RORA and demonstrated that this enhancer positively regulates RORA transcription. Moreover, CRISPR-Cas9-mediated deletion of a transcription factor binding site-rich region within the identified RORA enhancer confirmed its role in regulating RORA transcription. These findings provide insights into the potential mechanism by which the RORA enhancer orchestrates Th17 differentiation.


Asunto(s)
Diferenciación Celular , Elementos de Facilitación Genéticos , Células Th17 , Humanos , Diferenciación Celular/genética , Diferenciación Celular/inmunología , Elementos de Facilitación Genéticos/genética , Células Th17/inmunología , Polimorfismo de Nucleótido Simple , Regulación de la Expresión Génica , Miembro 1 del Grupo F de la Subfamilia 1 de Receptores Nucleares/genética , Miembro 1 del Grupo F de la Subfamilia 1 de Receptores Nucleares/metabolismo , Enfermedades Autoinmunes/genética , Enfermedades Autoinmunes/inmunología , Sitios de Unión/genética , Sistemas CRISPR-Cas
5.
Cell Mol Life Sci ; 81(1): 183, 2024 Apr 17.
Artículo en Inglés | MEDLINE | ID: mdl-38630262

RESUMEN

Apart from the androgen receptor, transcription factors (TFs) that are required for the development and formation of the different segments of the epididymis have remained unknown. We identified TF families expressed in the developing epididymides, of which many showed segment specificity. From these TFs, down-regulation of runt related transcription factors (RUNXs) 1 and 2 expression coincides with epithelial regression in Dicer1 cKO mice. Concomitant deletion of both Runx1 and Runx2 in a mouse epididymal epithelial cell line affected cell morphology, adhesion and mobility in vitro. Furthermore, lack of functional RUNXs severely disturbed the formation of 3D epididymal organoid-like structures. Transcriptomic analysis of the epididymal cell organoid-like structures indicated that RUNX1 and RUNX2 are involved in the regulation of MAPK signaling, NOTCH pathway activity, and EMT-related gene expression. This suggests that RUNXs are master regulators of several essential signaling pathways, and necessary for the maintenance of proper differentiation of the epididymal epithelium.


Asunto(s)
Subunidad alfa 1 del Factor de Unión al Sitio Principal , Subunidad alfa 2 del Factor de Unión al Sitio Principal , Humanos , Masculino , Animales , Ratones , Subunidad alfa 1 del Factor de Unión al Sitio Principal/genética , Subunidad alfa 2 del Factor de Unión al Sitio Principal/genética , Epidídimo , Diferenciación Celular/genética , Línea Celular
6.
Cell Rep ; 42(12): 113469, 2023 12 26.
Artículo en Inglés | MEDLINE | ID: mdl-38039135

RESUMEN

The serine/threonine-specific Moloney murine leukemia virus (PIM) kinase family (i.e., PIM1, PIM2, and PIM3) has been extensively studied in tumorigenesis. PIM kinases are downstream of several cytokine signaling pathways that drive immune-mediated diseases. Uncontrolled T helper 17 (Th17) cell activation has been associated with the pathogenesis of autoimmunity. However, the detailed molecular function of PIMs in human Th17 cell regulation has yet to be studied. In the present study, we comprehensively investigated how the three PIMs simultaneously alter transcriptional gene regulation during early human Th17 cell differentiation. By combining PIM triple knockdown with bulk and scRNA-seq approaches, we found that PIM deficiency promotes the early expression of key Th17-related genes while suppressing Th1-lineage genes. Further, PIMs modulate Th cell signaling, potentially via STAT1 and STAT3. Overall, our study highlights the inhibitory role of PIMs in human Th17 cell differentiation, thereby suggesting their association with autoimmune phenotypes.


Asunto(s)
Proteínas Serina-Treonina Quinasas , Proteínas Proto-Oncogénicas c-pim-1 , Animales , Ratones , Humanos , Proteínas Serina-Treonina Quinasas/metabolismo , Proteínas Proto-Oncogénicas c-pim-1/genética , Proteínas Proto-Oncogénicas c-pim-1/metabolismo , Transducción de Señal , Hematopoyesis , Diferenciación Celular , Células Th17/metabolismo
7.
Heliyon ; 9(2): e13147, 2023 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-36718152

RESUMEN

Background: In coeliac disease (CoD), the role of B-cells has mainly been considered to be production of antibodies. The functional role of B-cells has not been analysed extensively in CoD. Methods: We conducted a study to characterize gene expression in B-cells from children developing CoD early in life using samples collected before and at the diagnosis of the disease. Blood samples were collected from children at risk at 12, 18, 24 and 36 months of age. RNA from peripheral blood CD19+ cells was sequenced and differential gene expression was analysed using R package Limma. Findings: Overall, we found one gene, HNRNPL, modestly downregulated in all patients (logFC -0·7; q = 0·09), and several others downregulated in those diagnosed with CoD already by the age of 2 years. Interpretation: The data highlight the role of B-cells in CoD development. The role of HNRPL in suppressing enteroviral replication suggests that the predisposing factor for both CoD and enteroviral infections is the low level of HNRNPL expression. Funding: EU FP7 grant no. 202063, EU Regional Developmental Fund and research grant PRG712, The Academy of Finland Centre of Excellence in Molecular Systems Immunology and Physiology Research (SyMMyS) 2012-2017, grant no. 250114) and, AoF Personalized Medicine Program (grant no. 292482), AoF grants 292335, 294337, 319280, 31444, 319280, 329277, 331790) and grants from the Sigrid Jusélius Foundation (SJF).

8.
Nucleic Acids Res ; 50(20): 11470-11491, 2022 11 11.
Artículo en Inglés | MEDLINE | ID: mdl-36259644

RESUMEN

Nonsense-mediated RNA decay (NMD) is a highly conserved and selective RNA turnover pathway that depends on the endonuclease SMG6. Here, we show that SMG6 is essential for male germ cell differentiation in mice. Germ-cell conditional knockout (cKO) of Smg6 induces extensive transcriptome misregulation, including a failure to eliminate meiotically expressed transcripts in early haploid cells, and accumulation of NMD target mRNAs with long 3' untranslated regions (UTRs). Loss of SMG6 in the male germline results in complete arrest of spermatogenesis at the early haploid cell stage. We find that SMG6 is strikingly enriched in the chromatoid body (CB), a specialized cytoplasmic granule in male germ cells also harboring PIWI-interacting RNAs (piRNAs) and the piRNA-binding protein PIWIL1. This raises the possibility that SMG6 and the piRNA pathway function together, which is supported by several findings, including that Piwil1-KO mice phenocopy Smg6-cKO mice and that SMG6 and PIWIL1 co-regulate many genes in round spermatids. Together, our results demonstrate that SMG6 is an essential regulator of the male germline transcriptome, and highlight the CB as a molecular platform coordinating RNA regulatory pathways to control sperm production and fertility.


Asunto(s)
Endorribonucleasas , Gránulos de Ribonucleoproteína de Células Germinales , Espermatogénesis , Transcriptoma , Animales , Masculino , Ratones , Células Germinativas/metabolismo , ARN Interferente Pequeño/genética , Espermátides/metabolismo , Espermatogénesis/genética , Endorribonucleasas/metabolismo
9.
Dev Cell ; 57(20): 2350-2364.e7, 2022 10 24.
Artículo en Inglés | MEDLINE | ID: mdl-36283390

RESUMEN

Ductal carcinoma in situ (DCIS) is a pre-invasive stage of breast cancer. During invasion, the encapsulating DCIS basement membrane (BM) is compromised, and tumor cells invade the surrounding stroma. The mechanisms that regulate functional epithelial BMs in vivo are poorly understood. Myosin-X (MYO10) is a filopodia-inducing protein associated with metastasis and poor clinical outcome in invasive breast cancer (IBC). We identify elevated MYO10 expression in human DCIS and IBC, and this suggests links with disease progression. MYO10 promotes filopodia formation and cell invasion in vitro and cancer-cell dissemination from progressively invasive human DCIS xenografts. However, MYO10-depleted xenografts are more invasive. These lesions exhibit compromised BMs, poorly defined borders, and increased cancer-cell dispersal and EMT-marker-positive cells. In addition, cancer spheroids are dependent on MYO10-filopodia to generate a near-continuous extracellular matrix boundary. Thus, MYO10 is protective in early-stage breast cancer, correlating with tumor-limiting BMs, and pro-invasive at later stages, facilitating cancer-cell dissemination.


Asunto(s)
Neoplasias de la Mama , Carcinoma Ductal de Mama , Carcinoma Intraductal no Infiltrante , Humanos , Femenino , Carcinoma Intraductal no Infiltrante/metabolismo , Carcinoma Intraductal no Infiltrante/patología , Seudópodos/metabolismo , Neoplasias de la Mama/patología , Miosinas/metabolismo , Membrana Basal/metabolismo , Carcinoma Ductal de Mama/metabolismo
10.
Diabetologia ; 65(9): 1534-1540, 2022 09.
Artículo en Inglés | MEDLINE | ID: mdl-35716175

RESUMEN

AIMS/HYPOTHESIS: Distinct DNA methylation patterns have recently been observed to precede type 1 diabetes in whole blood collected from young children. Our aim was to determine whether perinatal DNA methylation is associated with later progression to type 1 diabetes. METHODS: Reduced representation bisulphite sequencing (RRBS) analysis was performed on umbilical cord blood samples collected within the Finnish Type 1 Diabetes Prediction and Prevention (DIPP) Study. Children later diagnosed with type 1 diabetes and/or who tested positive for multiple islet autoantibodies (n = 43) were compared with control individuals (n = 79) who remained autoantibody-negative throughout the DIPP follow-up until 15 years of age. Potential confounding factors related to the pregnancy and the mother were included in the analysis. RESULTS: No differences in the umbilical cord blood methylation patterns were observed between the cases and controls at a false discovery rate <0.05. CONCLUSIONS/INTERPRETATION: Based on our results, differences between children who progress to type 1 diabetes and those who remain healthy throughout childhood are not yet present in the perinatal DNA methylome. However, we cannot exclude the possibility that such differences would be found in a larger dataset.


Asunto(s)
Diabetes Mellitus Tipo 1 , Autoanticuerpos , Niño , Preescolar , Metilación de ADN/genética , Femenino , Sangre Fetal/metabolismo , Glutamato Descarboxilasa , Humanos , Embarazo
11.
iScience ; 25(5): 104287, 2022 May 20.
Artículo en Inglés | MEDLINE | ID: mdl-35573198

RESUMEN

Antiandrogen treatment resistance is a major clinical concern in castration-resistant prostate cancer (CRPC) treatment. Using xenografts of VCaP cells we showed that growth of antiandrogen resistant CRPC tumors were characterized by a higher intratumor dihydrotestosterone (DHT) concentration than that of treatment responsive tumors. Furthermore, the slow tumor growth after adrenalectomy was associated with a low intratumor DHT concentration. Reactivation of androgen signaling in enzalutamide-resistant tumors was further shown by the expression of several androgen-dependent genes. The data indicate that intratumor DHT concentration and expression of several androgen-dependent genes in CRPC lesions is an indication of enzalutamide treatment resistance and an indication of the need for further androgen blockade. The presence of an androgen synthesis, independent of CYP17A1 activity, has been shown to exist in prostate cancer cells, and thus, novel androgen synthesis inhibitors are needed for the treatment of enzalutamide-resistant CRPC tumors that do not respond to abiraterone.

12.
Nucleic Acids Res ; 50(9): 4938-4958, 2022 05 20.
Artículo en Inglés | MEDLINE | ID: mdl-35511484

RESUMEN

Th17 cells are essential for protection against extracellular pathogens, but their aberrant activity can cause autoimmunity. Molecular mechanisms that dictate Th17 cell-differentiation have been extensively studied using mouse models. However, species-specific differences underscore the need to validate these findings in human. Here, we characterized the human-specific roles of three AP-1 transcription factors, FOSL1, FOSL2 and BATF, during early stages of Th17 differentiation. Our results demonstrate that FOSL1 and FOSL2 co-repress Th17 fate-specification, whereas BATF promotes the Th17 lineage. Strikingly, FOSL1 was found to play different roles in human and mouse. Genome-wide binding analysis indicated that FOSL1, FOSL2 and BATF share occupancy over regulatory regions of genes involved in Th17 lineage commitment. These AP-1 factors also share their protein interacting partners, which suggests mechanisms for their functional interplay. Our study further reveals that the genomic binding sites of FOSL1, FOSL2 and BATF harbour hundreds of autoimmune disease-linked SNPs. We show that many of these SNPs alter the ability of these transcription factors to bind DNA. Our findings thus provide critical insights into AP-1-mediated regulation of human Th17-fate and associated pathologies.


Asunto(s)
Factores de Transcripción con Cremalleras de Leucina de Carácter Básico , Antígeno 2 Relacionado con Fos , Proteínas Proto-Oncogénicas c-fos/metabolismo , Células Th17 , Factor de Transcripción AP-1 , Animales , Factores de Transcripción con Cremalleras de Leucina de Carácter Básico/genética , Factores de Transcripción con Cremalleras de Leucina de Carácter Básico/metabolismo , Diferenciación Celular , Antígeno 2 Relacionado con Fos/genética , Antígeno 2 Relacionado con Fos/metabolismo , Regulación de la Expresión Génica , Humanos , Ratones , Células Th17/citología , Células Th17/metabolismo , Factor de Transcripción AP-1/metabolismo
13.
Diabetologia ; 65(5): 844-860, 2022 05.
Artículo en Inglés | MEDLINE | ID: mdl-35142878

RESUMEN

AIMS/HYPOTHESIS: Type 1 diabetes is a chronic autoimmune disease of complex aetiology, including a potential role for epigenetic regulation. Previous epigenomic studies focused mainly on clinically diagnosed individuals. The aim of the study was to assess early DNA methylation changes associated with type 1 diabetes already before the diagnosis or even before the appearance of autoantibodies. METHODS: Reduced representation bisulphite sequencing (RRBS) was applied to study DNA methylation in purified CD4+ T cell, CD8+ T cell and CD4-CD8- cell fractions of 226 peripheral blood mononuclear cell samples longitudinally collected from seven type 1 diabetes-specific autoantibody-positive individuals and control individuals matched for age, sex, HLA risk and place of birth. We also explored correlations between DNA methylation and gene expression using RNA sequencing data from the same samples. Technical validation of RRBS results was performed using pyrosequencing. RESULTS: We identified 79, 56 and 45 differentially methylated regions in CD4+ T cells, CD8+ T cells and CD4-CD8- cell fractions, respectively, between type 1 diabetes-specific autoantibody-positive individuals and control participants. The analysis of pre-seroconversion samples identified DNA methylation signatures at the very early stage of disease, including differential methylation at the promoter of IRF5 in CD4+ T cells. Further, we validated RRBS results using pyrosequencing at the following CpG sites: chr19:18118304 in the promoter of ARRDC2; chr21:47307815 in the intron of PCBP3; and chr14:81128398 in the intergenic region near TRAF3 in CD4+ T cells. CONCLUSIONS/INTERPRETATION: These preliminary results provide novel insights into cell type-specific differential epigenetic regulation of genes, which may contribute to type 1 diabetes pathogenesis at the very early stage of disease development. Should these findings be validated, they may serve as a potential signature useful for disease prediction and management.


Asunto(s)
Metilación de ADN , Diabetes Mellitus Tipo 1 , Autoanticuerpos/genética , Autoinmunidad/genética , Linfocitos T CD8-positivos , Niño , Islas de CpG , Metilación de ADN/genética , Diabetes Mellitus Tipo 1/genética , Epigénesis Genética/genética , Humanos , Leucocitos Mononucleares
15.
NAR Genom Bioinform ; 3(3): lqab059, 2021 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-34235431

RESUMEN

Changes in cellular chromatin states fine-tune transcriptional output and ultimately lead to phenotypic changes. Here we propose a novel application of our reproducibility-optimized test statistics (ROTS) to detect differential chromatin states (ATAC-seq) or differential chromatin modification states (ChIP-seq) between conditions. We compare the performance of ROTS to existing and widely used methods for ATAC-seq and ChIP-seq data using both synthetic and real datasets. Our results show that ROTS outperformed other commonly used methods when analyzing ATAC-seq data. ROTS also displayed the most accurate detection of small differences when modeling with synthetic data. We observed that two-step methods that require the use of a separate peak caller often more accurately called enrichment borders, whereas one-step methods without a separate peak calling step were more versatile in calling sub-peaks. The top ranked differential regions detected by the methods had marked correlation with transcriptional differences of the closest genes. Overall, our study provides evidence that ROTS is a useful addition to the available differential peak detection methods to study chromatin and performs especially well when applied to study differential chromatin states in ATAC-seq data.

16.
BMC Genomics ; 22(1): 357, 2021 May 17.
Artículo en Inglés | MEDLINE | ID: mdl-34000988

RESUMEN

BACKGROUND: Detection of copy number variations (CNVs) from high-throughput next-generation whole-genome sequencing (WGS) data has become a widely used research method during the recent years. However, only a little is known about the applicability of the developed algorithms to ultra-low-coverage (0.0005-0.8×) data that is used in various research and clinical applications, such as digital karyotyping and single-cell CNV detection. RESULT: Here, the performance of six popular read-depth based CNV detection algorithms (BIC-seq2, Canvas, CNVnator, FREEC, HMMcopy, and QDNAseq) was studied using ultra-low-coverage WGS data. Real-world array- and karyotyping kit-based validation were used as a benchmark in the evaluation. Additionally, ultra-low-coverage WGS data was simulated to investigate the ability of the algorithms to identify CNVs in the sex chromosomes and the theoretical minimum coverage at which these tools can accurately function. Our results suggest that while all the methods were able to detect large CNVs, many methods were susceptible to producing false positives when smaller CNVs (< 2 Mbp) were detected. There was also significant variability in their ability to identify CNVs in the sex chromosomes. Overall, BIC-seq2 was found to be the best method in terms of statistical performance. However, its significant drawback was by far the slowest runtime among the methods (> 3 h) compared with FREEC (~ 3 min), which we considered the second-best method. CONCLUSIONS: Our comparative analysis demonstrates that CNV detection from ultra-low-coverage WGS data can be a highly accurate method for the detection of large copy number variations when their length is in millions of base pairs. These findings facilitate applications that utilize ultra-low-coverage CNV detection.


Asunto(s)
Variaciones en el Número de Copia de ADN , Secuenciación de Nucleótidos de Alto Rendimiento , Algoritmos , Secuenciación Completa del Genoma
17.
Front Immunol ; 12: 535039, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-33815354

RESUMEN

The BTB zinc finger transcription factor MAZR (also known as PATZ1) controls, partially in synergy with the transcription factor Runx3, the development of CD8 lineage T cells. Here we explored the role of MAZR as well as combined activities of MAZR/Runx3 during cytotoxic T lymphocyte (CTL) and memory CD8+ T cell differentiation. In contrast to the essential role of Runx3 for CTL effector function, the deletion of MAZR had a mild effect on the generation of CTLs in vitro. However, a transcriptome analysis demonstrated that the combined deletion of MAZR and Runx3 resulted in much more widespread downregulation of CTL signature genes compared to single Runx3 deletion, indicating that MAZR partially compensates for loss of Runx3 in CTLs. Moreover, in line with the findings made in vitro, the analysis of CTL responses to LCMV infection revealed that MAZR and Runx3 cooperatively regulate the expression of CD8α, Granzyme B and perforin in vivo. Interestingly, while memory T cell differentiation is severely impaired in Runx3-deficient mice, the deletion of MAZR leads to an enlargement of the long-lived memory subset and also partially restored the differentiation defect caused by loss of Runx3. This indicates distinct functions of MAZR and Runx3 in the generation of memory T cell subsets, which is in contrast to their cooperative roles in CTLs. Together, our study demonstrates complex interplay between MAZR and Runx3 during CTL and memory T cell differentiation, and provides further insight into the molecular mechanisms underlying the establishment of CTL and memory T cell pools.


Asunto(s)
Linfocitos T CD8-positivos/inmunología , Subunidad alfa 3 del Factor de Unión al Sitio Principal/inmunología , Memoria Inmunológica/inmunología , Proteínas de Neoplasias/inmunología , Proteínas Represoras/inmunología , Linfocitos T Citotóxicos/inmunología , Animales , Linfocitos T CD8-positivos/metabolismo , Linfocitos T CD8-positivos/virología , Diferenciación Celular/genética , Diferenciación Celular/inmunología , Subunidad alfa 3 del Factor de Unión al Sitio Principal/genética , Subunidad alfa 3 del Factor de Unión al Sitio Principal/metabolismo , Regulación de la Expresión Génica/inmunología , Interacciones Huésped-Patógeno/inmunología , Activación de Linfocitos/inmunología , Coriomeningitis Linfocítica/inmunología , Coriomeningitis Linfocítica/metabolismo , Coriomeningitis Linfocítica/virología , Virus de la Coriomeningitis Linfocítica/inmunología , Virus de la Coriomeningitis Linfocítica/fisiología , Ratones Noqueados , Ratones Transgénicos , Proteínas de Neoplasias/genética , Proteínas de Neoplasias/metabolismo , Proteínas Represoras/genética , Proteínas Represoras/metabolismo , Linfocitos T Citotóxicos/metabolismo , Linfocitos T Citotóxicos/virología
18.
RNA Biol ; 18(11): 1739-1746, 2021 11.
Artículo en Inglés | MEDLINE | ID: mdl-33522408

RESUMEN

Detection of differentially expressed genes (DEGs) between different biological conditions is a key data analysis step of most RNA-sequencing studies. Conventionally, computational tools have used gene-level read counts as input to test for differential gene expression between sample condition groups. Recently, it has been suggested that statistical testing could be performed with increased power at a lower feature level prior to aggregating the results to the gene level. In this study, we systematically compared the performance of calling the DEGs when using read count data at different levels (gene, transcript, and exon) as input, in the context of two publicly available data sets. Additionally, we tested two different methods for aggregating the lower feature-level p-values to gene-level: Lancaster and empirical Brown's method. Our results show that detection of DEGs is improved compared to the conventional gene-level approach regardless of the lower feature-level used for statistical testing. The overall best balance between accuracy and false discovery rate was obtained using the exon-level approach with empirical Brown's aggregation method, which we provide as a freely available Bioconductor package EBSEA (https://bioconductor.org/packages/release/bioc/html/EBSEA.html).


Asunto(s)
Biomarcadores de Tumor/metabolismo , Secuenciación del Exoma/métodos , Exones , Regulación Neoplásica de la Expresión Génica , Neoplasias de la Próstata/genética , RNA-Seq/métodos , Programas Informáticos , Biomarcadores de Tumor/genética , Humanos , Masculino , Neoplasias de la Próstata/patología , Transcriptoma
19.
Epigenomics ; 12(9): 747-755, 2020 05.
Artículo en Inglés | MEDLINE | ID: mdl-32496849

RESUMEN

Aim: DNA methylation is a key epigenetic mechanism regulating gene expression. Identifying differentially methylated regions is integral to DNA methylation analysis and there is a need for robust tools reliably detecting regions with significant differences in their methylation status. Materials & methods: We present here a reproducibility-optimized test statistic (ROTS) for detection of differential DNA methylation from high-throughput sequencing or array-based data. Results: Using both simulated and real data, we demonstrate the ability of ROTS to identify differential methylation between sample groups. Conclusion: Compared with state-of-the-art methods, ROTS shows competitive sensitivity and specificity in detecting consistently differentially methylated regions.


Asunto(s)
Metilación de ADN , Análisis de Secuencia de ADN/métodos , Carcinoma de Células Renales/genética , Carcinoma de Células Renales/metabolismo , Interpretación Estadística de Datos , Células Madre Embrionarias/metabolismo , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Humanos , Neoplasias Renales/genética , Neoplasias Renales/metabolismo , Análisis de Secuencia por Matrices de Oligonucleótidos/métodos , Reproducibilidad de los Resultados
20.
JCI Insight ; 5(4)2020 02 27.
Artículo en Inglés | MEDLINE | ID: mdl-32102981

RESUMEN

Some effector CD4+ T cell subsets display cytotoxic activity, thus breaking the functional dichotomy of CD4+ helper and CD8+ cytotoxic T lymphocytes. However, molecular mechanisms regulating CD4+ cytotoxic T lymphocyte (CD4+ CTL) differentiation are poorly understood. Here we show that levels of histone deacetylases 1 and 2 (HDAC1-HDAC2) are key determinants of CD4+ CTL differentiation. Deletions of both Hdac1 and 1 Hdac2 alleles (HDAC1cKO-HDAC2HET) in CD4+ T cells induced a T helper cytotoxic program that was controlled by IFN-γ-JAK1/2-STAT1 signaling. In vitro, activated HDAC1cKO-HDAC2HET CD4+ T cells acquired cytolytic activity and displayed enrichment of gene signatures characteristic of effector CD8+ T cells and human CD4+ CTLs. In vivo, murine cytomegalovirus-infected HDAC1cKO-HDAC2HET mice displayed a stronger induction of CD4+ CTL features compared with infected WT mice. Finally, murine and human CD4+ T cells treated with short-chain fatty acids, which are commensal-produced metabolites acting as HDAC inhibitors, upregulated CTL genes. Our data demonstrate that HDAC1-HDAC2 restrain CD4+ CTL differentiation. Thus, HDAC1-HDAC2 might be targets for the therapeutic induction of CD4+ CTLs.


Asunto(s)
Linfocitos T CD4-Positivos/citología , Diferenciación Celular/fisiología , Histona Desacetilasa 1/fisiología , Histona Desacetilasa 2/fisiología , Linfocitos T Citotóxicos/fisiología , Animales , Linfocitos T CD4-Positivos/efectos de los fármacos , Ácidos Grasos/farmacología , Histona Desacetilasa 1/genética , Histona Desacetilasa 2/genética , Humanos , Ratones , Ratones Noqueados , Transducción de Señal/fisiología , Linfocitos T Citotóxicos/efectos de los fármacos , Regulación hacia Arriba/efectos de los fármacos , Regulación hacia Arriba/fisiología
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